PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.59 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (320 utterances, 1,524 words searched).

  1. that's a very big tower , isn't it ? MOT · eng_british_Manchester_II/warr21b.cha, line 31 · Warren 2;05
  2. is it a big tiger or a little tiger ? MOT · eng_british_Manchester_II/warr21b.cha, line 405 · Warren 2;05
  3. shall we <put the big> [//] put the whale on ? MOT · eng_british_Manchester_II/warr21b.cha, line 420 · Warren 2;05
  4. Mummy had to buy big eggs yesterday , didn't she to make that pudding . MOT · eng_british_Manchester_II/warr21b.cha, line 762 · Warren 2;05
  5. is that a big egg or a little egg ? MOT · eng_british_Manchester_II/warr21b.cha, line 770 · Warren 2;05
  6. shall we see if we can find any more big eggs or little eggs ? MOT · eng_british_Manchester_II/warr21b.cha, line 781 · Warren 2;05
  7. you're a big boy . MOT · eng_british_Manchester_II/warr21b.cha, line 1064 · Warren 2;05
  1. MOTmmhm .
    CHIand a big tower .
    MOT*MOT: that's a very big tower , isn't it ?
    CHIit 0is [*] very wobbly .
    MOTthat makes a good noise , doesn't it ?
  2. MOTwhat is it though ?
    CHItiger .
    MOT*MOT: is it a big tiger or a little tiger ?
    CHIum it's <a a> [/] a little tiger .
    MOTyeah he is .
  3. MOTwhoops .
    CHIoh .
    MOT*MOT: shall we <put the big> [//] put the whale on ?
    CHIxxx go on there .
    MOTyou wait here .
  4. CHIgo in there .
    MOTyes .
    MOT*MOT: Mummy had to buy big eggs yesterday , didn't she to make that pudding .
    MOToh: .
    MOTI can see another one .
  5. MOToh: .
    MOTI can see another one .
    MOT*MOT: is that a big egg or a little egg ?
    CHIbig egg .
    CHIthat goes there .
  6. CHIthat goes there .
    MOTyeah .
    MOT*MOT: shall we see if we can find any more big eggs or little eggs ?
    CHIbig eggs .
    CHIahhah .
  7. MOTtake them out of your mouth .
    MOTyou're not a baby .
    MOT*MOT: you're a big boy .
    MOTyou keep telling me .
    MOTno .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Warren eng_british_Manchester_II4.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr21b.chaWarren 2;5.131,524774.59

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. big7 · 100.0%